tardis.montecarlo.montecarlo_numba.base module

tardis.montecarlo.montecarlo_numba.base.create_tracked_rpacket_df(rpacket_collections, iteration)

Creates Dataframe for particular rpacket along with Iteration info

Parameters

rpacket_collectionslist (contains numba.jitclass instances)

A list of rpackets. Stores all the data for each interaction a particular rpacket undergoes as the simulation progresses.

iterationint

Current Simulation ‘Iteration’ value

Returns

rpacket_tracked_dfpd.DataFrame

A dataframe that is generated with all the properties of a single rpacket.

tardis.montecarlo.montecarlo_numba.base.montecarlo_main_loop(packet_collection, numba_model, numba_plasma, estimators, spectrum_frequency, number_of_vpackets, packet_seeds, iteration, show_progress_bars, no_of_packets, total_iterations)

This is the main loop of the MonteCarlo routine that generates packets and sends them through the ejecta.

Parameters

packet_collectionPacketCollection

numba_modelNumbaModel

estimatorsNumbaEstimators

spectrum_frequencyastropy.units.Quantity

frequency bins

number_of_vpacketsint

VPackets released per interaction

packet_seedsnumpy.array

tardis.montecarlo.montecarlo_numba.base.montecarlo_radial1d(model, plasma, iteration, no_of_packets, total_iterations, show_progress_bars, runner)

tardis.montecarlo.montecarlo_numba.base.track_rpacket_dataframe(tracked_rpacket_df, tracked_df)

Appending function for joining the pre-exisiting dataframe stored in runner.rpacket_tracker with the newly created dataframe with iteration information. Helps create the final dataframe which has all the data stored with iteration for all the rpackets.

Returns

tracked_rpacket_dfpd.DataFrame

Returns the Final DataFrame after appending the data of tracked_df into the pre-exisiting values.